Literature DB >> 16090023

Clustering and the synchronization of oscillator networks.

Patrick N McGraw1, Michael Menzinger.   

Abstract

By manipulating the clustering coefficient of a network without changing its degree distribution, we examine the effect of clustering on the synchronization of phase oscillators on networks with Poisson and scale-free degree distributions. For both types of networks, increased clustering hinders global synchronization as the network splits into dynamical clusters that oscillate at different frequencies. Surprisingly, in scale-free networks, clustering promotes the synchronization of the most connected nodes (hubs) even though it inhibits global synchronization. As a result, they show an additional, advanced transition instead of a single synchronization threshold. This cluster-enhanced synchronization of hubs may be relevant to the brain that is scale-free and highly clustered.

Year:  2005        PMID: 16090023     DOI: 10.1103/PhysRevE.72.015101

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  10 in total

1.  A framework for second-order eigenvector centralities and clustering coefficients.

Authors:  Francesca Arrigo; Desmond J Higham; Francesco Tudisco
Journal:  Proc Math Phys Eng Sci       Date:  2020-04-15       Impact factor: 2.704

2.  Inferring the physical connectivity of complex networks from their functional dynamics.

Authors:  Hung Xuan Ta; Chang No Yoon; Liisa Holm; Seung Kee Han
Journal:  BMC Syst Biol       Date:  2010-05-26

3.  Modeling the seasonal adaptation of circadian clocks by changes in the network structure of the suprachiasmatic nucleus.

Authors:  Christian Bodenstein; Marko Gosak; Stefan Schuster; Marko Marhl; Matjaž Perc
Journal:  PLoS Comput Biol       Date:  2012-09-20       Impact factor: 4.475

4.  Collective almost synchronisation in complex networks.

Authors:  Murilo S Baptista; Hai-Peng Ren; Johen C M Swarts; Rodrigo Carareto; Henk Nijmeijer; Celso Grebogi
Journal:  PLoS One       Date:  2012-11-08       Impact factor: 3.240

5.  Inferring general relations between network characteristics from specific network ensembles.

Authors:  Stefano Cardanobile; Volker Pernice; Moritz Deger; Stefan Rotter
Journal:  PLoS One       Date:  2012-06-06       Impact factor: 3.240

6.  Robustness of oscillatory behavior in correlated networks.

Authors:  Takeyuki Sasai; Kai Morino; Gouhei Tanaka; Juan A Almendral; Kazuyuki Aihara
Journal:  PLoS One       Date:  2015-04-20       Impact factor: 3.240

7.  Determination of collective behavior of the financial market.

Authors:  Shouwei Li; Tao Xu; Jianmin He
Journal:  Springerplus       Date:  2016-09-13

8.  Macroscopic Cluster Organizations Change the Complexity of Neural Activity.

Authors:  Jihoon Park; Koki Ichinose; Yuji Kawai; Junichi Suzuki; Minoru Asada; Hiroki Mori
Journal:  Entropy (Basel)       Date:  2019-02-23       Impact factor: 2.524

9.  Community structure and multi-modal oscillations in complex networks.

Authors:  Henry Dorrian; Jon Borresen; Martyn Amos
Journal:  PLoS One       Date:  2013-10-10       Impact factor: 3.240

10.  Frustrated hierarchical synchronization and emergent complexity in the human connectome network.

Authors:  Pablo Villegas; Paolo Moretti; Miguel A Muñoz
Journal:  Sci Rep       Date:  2014-08-08       Impact factor: 4.379

  10 in total

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